Knowledge Mobilization (KMb)
Reviewing some of my Delicious bookmarks, I re-read Waiting for the Social Semantic Web. What struck me again is a statement about the distinction between Web 2.0 and Web 3.0 – the so-called semantic web. As we gather information by bookmarking and tagging we are linking various topics with various contexts – creating links to assist us in easier tracking and referral. But we are also contributing to the future of intelligent machines. The great divide between humans and thinking machines appears to be getting smaller with every tag that links information in a more digital way. Supposedly, the Semantic Web will make information stored on the Internet even more readily accessible not only to humans but to intelligent machines in a more meaningful way.
But how do we define intelligence and what is meant by meaningful? Meaningful is a slippery word that should not be confused with meaning.
Meaning has a definitional element, a descriptor for an object. Meaningful has a subjective element that is personalized with each individual. As we all know, what is meaningful to one person may not be meaningful to another. So can intelligent machines have meaningful knowledge?
Before answering that, it’s necessary to first understand what is meant by knowledge. There are many forms of knowledge: academic, expertise or skill, theoretical or practical, awareness or basic understanding. Further types of knowledge include communicating (style) knowledge, situated knowledge, partial knowledge, scientific knowledge and symbolic knowledge. Yet, even the very definition of knowledge continues to be debated.
There are also two uses of knowledge: instrumental (the practical application of knowledge as a means or agency), and conceptual (the thoughtful, reflective process). How knowledge is used is also dependent upon context.
Is knowledge strictly something academic (objective) and found in the ivory towers of university or formal institutions of the world, or is knowledge something that every person (subjective) in the community has to share? This is at the heart of knowledge mobilization (KMb) where definitional knowledge is now being enmeshed with meaningful knowledge. Knowledge Mobilization is now connecting definitial knowledge with meaningful knowledge by connecting research and researchers with community organizations and individuals – listening to their voices while also providing information with a more social, collaborative approach to knowledge.
Now back to the semantic machines…
Like those intelligent machines, KMb is creating links to bridge the great, historical divides between types of knowledge, the use of knowledge, and the places of knowledge – in order to contribute to the greater benefit of society.
While the Semantic Web is advancing slowly – also being formed based on the linking of all types, uses, and places of knowledge – these three elements of knowledge are already being combined in Knowledge Mobilization. It’s through KMb that meaningful knowledge is being created by including, listening to, learning from, and linking all aspects of knowledge.
Intelligent machines may not actually be capable of creating meaningful knowledge, but using social media and the Internet for Knowledge Mobilization is a key way of contributing meaningful knowledge to the machines – and more importantly to the greater benefit of humans in society.